ArticlePloS one2013
Clonal expansion analysis of transposon insertions by high-throughput sequencing identifies candidate cancer genes in a PiggyBac mutagenesis screen.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Using Genome Scale Mutant Libraries to Identify Essential Genes.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Transposon mutagenesis identifies cooperating genetic drivers during keratinocyte transformation and cutaneous squamous cell carcinoma progression.PLoS genetics · 2021Article
- In vivo functional screening for systems-level integrative cancer genomics.Nature reviews. Cancer · 2020Review
- Transposon Insertion Mutagenesis in Mice for Modeling Human Cancers: Critical Insights Gained and New Opportunities.International journal of molecular sciences · 2020Review
- Arrayed mutant haploid embryonic stem cell libraries facilitate phenotype-driven genetic screens.Nucleic acids research · 2017Article
- Analyzing tumor heterogeneity and driver genes in single myeloid leukemia cells with SBCapSeq.Nature biotechnology · 2016Article
- Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants.Genome research · 2016Article
- Transposon Mutagenesis Screen Identifies Potential Lung Cancer Drivers and CUL3 as a Tumor Suppressor.Molecular cancer research : MCR · 2015Article
- Sequencing methods and datasets to improve functional interpretation of sleeping beauty mutagenesis screens.BMC genomics · 2014Article
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Somatic transposon mutagenesis in mice is an efficient strategy to investigate the genetic mechanisms of tumorigenesis. The identification of tumor driving transposon insertions traditionally requires the generation of large tumor cohorts to obtain information about common insertion sites. Tumor driving insertions are also characterized by their clonal expansion in tumor tissue, a phenomenon that is facilitated by the slow and evolving transformation process of transposon mutagenesis. We describe here an improved approach for the detection of tumor driving insertions that assesses the clonal expansion of insertions by quantifying the relative proportion of sequence reads obtained in individual tumors. To this end, we have developed a protocol for insertion site sequencing that utilizes acoustic shearing of tumor DNA and Illumina sequencing. We analyzed various solid tumors generated by PiggyBac mutagenesis and for each tumor >10⁶ reads corresponding to >10⁴ insertion sites were obtained. In each tumor, 9 to 25 insertions stood out by their enriched sequence read frequencies when compared to frequencies obtained from tail DNA controls. These enriched insertions are potential clonally expanded tumor driving insertions, and thus identify candidate cancer genes. The candidate cancer genes of our study comprised many established cancer genes, but also novel candidate genes such as Mastermind-like1 (Mamld1) and Diacylglycerolkinase delta (Dgkd). We show that clonal expansion analysis by high-throughput sequencing is a robust approach for the identification of candidate cancer genes in insertional mutagenesis screens on the level of individual tumors.
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